Evolutive Introns: A Non-Costly Method of Using Introns in GP

Created by W.Langdon from gp-bibliography.bib Revision:1.4221

  author =       "Santiago {Garcia Carbajal} and 
                 Fermin Gonzalez Martinez",
  title =        "Evolutive Introns: A Non-Costly Method of Using
                 Introns in GP",
  journal =      "Genetic Programming and Evolvable Machines",
  year =         "2001",
  volume =       "2",
  number =       "2",
  pages =        "111--122",
  month =        jun,
  keywords =     "genetic algorithms, genetic programming, bloating,
                 introns, intertwined spirals",
  ISSN =         "1389-2576",
  DOI =          "doi:10.1023/A:1011548229751",
  abstract =     "We proposed a new strategy to explicitly define
                 introns that increases the probability of selecting
                 good crossover points as evolution goes on. Our
                 approach differs from existing methods in the procedure
                 followed to adapt the probabilities of groups of code
                 being protected. We also provide some experimental
                 results in symbolic regression and classification that
                 reinforced our belief in the usefulness of this
                 procedure. Collateral effects of Evolutive Introns
                 (EIs) are also studied to determine possible
                 modifications in the behavior of a classical Genetic
                 Programming (GP) system.",
  notes =        "Article ID: 335711",

Genetic Programming entries for Santiago Garcia Carbajal Fermin Gonzalez Martinez